DocumentCode :
3372677
Title :
Maintenance of discovered association rules in large databases: an incremental updating technique
Author :
Cheung, David W. ; Jiawei Han ; Ng, Vincent T. ; Wong, C.Y.
Author_Institution :
Dept. of Comput. Sci., Hong Kong Univ., Hong Kong
fYear :
1996
fDate :
26 Feb-1 Mar 1996
Firstpage :
106
Lastpage :
114
Abstract :
An incremental updating technique is developed for maintenance of the association rules discovered by database mining. There have been many studies on efficient discovery of association rules in large databases. However, it is nontrivial to maintain such discovered rules in large databases because a database may allow frequent or occasional updates and such updates may not only invalidate some existing strong association rules but also turn some weak rules into strong ones. An incremental updating technique is proposed for efficient maintenance of discovered association rules when new transaction data are added to a transaction database
Keywords :
deductive databases; knowledge acquisition; transaction processing; very large databases; association rules; database mining; discovered association rule maintenance; discovered association rules; incremental updating technique; large databases; occasional updates; strong association rules; transaction data; transaction database; weak rules; Algorithm design and analysis; Association rules; Computer science; Councils; Data engineering; Data mining; Economic forecasting; Itemsets; Maintenance; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1996. Proceedings of the Twelfth International Conference on
Conference_Location :
New Orleans, LA
ISSN :
1063-6382
Print_ISBN :
0-8186-7240-4
Type :
conf
DOI :
10.1109/ICDE.1996.492094
Filename :
492094
Link To Document :
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